33 LLM metrics to watch closely
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A comprehensive reference covering 33 metrics and benchmarks for evaluating LLMs and AI agents. Topics span performance (time to first token, throughput, tail latency), cost (TCO, token efficiency), quality (hallucination rate, grounding score, semantic similarity), safety (jailbreak resistance, prompt injection, PII leakage, toxicity), and capability benchmarks (GSM8K, GPQA, MMLU-Pro, SWE-bench, MBPP, LMSYS Chatbot Arena). Each metric is explained with its purpose, how it is measured, and relevant tools or benchmark datasets where applicable.
Table of contents
Time to first tokenTime per output tokenTokens per secondThroughput (requests per minute)197 Impressions